Sr. Product Manager, Lakebase

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At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Lakehouse and Lakebase products are at the forefront of enabling customers to get more value from their data.  Read this seminal blog from Databricks co-founders on What is a Lakehouse and A New Era of Databases: Lakebase. 

We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead these product areas into its next phase of growth. These roles come with ever expanding scope with critical responsibilities. You will get to choose if you can want to continue down the IC ladder or transfer to management ladder. 

• Own and define the product vision, strategy, and roadmap for Databricks SQL
• Work closely with engineering, design, sales, and marketing to launch new features and drive adoption.
• Engage directly with customers and partners to understand their needs and prioritize high-impact solutions.
• Drive competitive differentiation and positioning in the cloud data warehouse market.
• Collaborate with leadership to align product initiatives with business goals.
•  Use data-driven insights to measure success, iterate, and improve user experience.

• 5+ years of product management experience (preferably in cloud, analytics, or data platforms).
• Ability to break down complex problems into simple, scalable solutions.
• Strong sense of ownership—you thrive in ambiguity and love solving hard problems
•  Experience working with engineers and designers to ship high-impact products.
• Exceptional communication and storytelling skills to inspire teams and stakeholders.
• It is not necessary but good to have understanding of Databases, SQL, data warehousing, BI, and analytics use cases.

If you're excited about shaping the next evolution of data warehousing and analytics, we’d love to hear from you! Apply today and let’s build something incredible together.

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.